Consulting Engineer – AI Inference Infrastructure (Remote) Commitment: 20 hrs/week (Adaptable)

Duration: 6–12 weeks (Renewable)

Location: Remote (Weekly overlap with US Pacific time required) About PrimaLabs

PrimaLabs is building a workload-specific AI inference serving platform that maximizes real-world accelerator performance through closed-loop autotuning.

We're looking for experts in one or two of the following areas:

Disaggregated Inference

KV Cache Systems (LMCache, HiCache, etc.)

Speculative Decoding

Inference Routing & Gateway

Serving Stack Engineering (vLLM, SGLang, NVIDIA Dynamo)

Throughput & Latency Optimization Requirements

5+ years in Systems, HPC, Distributed Systems, or ML Infrastructure

Hands-on experience with AI inference serving

Solid Python; working knowledge of C++/CUDA





Experience with multi-node GPU clusters and containerized deployments

Benchmark-driven, performance optimization mindset

Ability to work independently with weekly checkpoints Nice to Have

Quantized inference (FP8/FP4)

KV transfer/cache-tiering projects

Open-source contributions (vLLM, SGLang, etc.)

Bayesian optimization or autotuning experience What You'll Get

Access to production-grade multi-GPU clusters

Real-world traffic and benchmarking infrastructure

Direct collaboration with the founding team

Rapid decision-making and high-impact engineering work

📌 Consultant Gpu Performance Engineer Gurugram
🏢 USHAK KAAL
📍 Gurugram